marc-vdm
commented
3 months ago Closing as resolved in #1280
Closed romainsacchi closed 3 months ago
marc-vdm
commented
3 months ago Closing as resolved in #1280
github-actions[bot]
commented
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Updating AB
What happened?
When doing a MultiLCA,
get_results_for_methodinmlca.pytries to populate and return a pandas.DataFrame. However, when datasets share a similar name, reference product, and database (e.g., "market for A", "A", "some database", "DE" and "market for A", "A", "some database", "FR"),self.func_key_listdoes not differentiate them (while their respective location makes them different) and results in an inadequate length passed as index to the dataframe, leading to an error.Concrete example:
Here:
datainget_results_for_methodequals [[4.04511069 3.20535302] [3.88548388 3.14680559]]with a shape of (2, 2), while
self.func_key_listequals ['market for lithium iron phosphate | lithium iron phosphate | super_db_14-04-2024 | 1.0'] andself.scenario_namesequals ['remind - SSP2-Base - 2050', 'image - SSP2-RCP19 - 2048']so the building of the dataframe fails because
self.scenario_namesxself.func_key_listdoes not equal the shape ofdata(2, 1 instead of 2,2), leading to:Relevant errors
No response
Operating system
MacOS
Conda environment